Google Careers-Group Product Manager, Machine Learning Infrastructure, General Solutions CA, USA - AAAMEDSU

Google Careers-Group Product Manager, Machine Learning Infrastructure, General Solutions CA, USA

2 min

  • Google
  • In-office:Sunnyvale, CA, USA
  • Seattle, WA, USA

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Seattle, WA, USA.

Minimum qualifications:

  • Bachelor’s degree in Computer Science or equivalent practical experience.
  • 10 years of experience in product management, consulting, co-founder or related technical role.
  • 5 years of experience building and shipping technical products.
  • 5 years of experience in people management, with technical leadership.

Preferred qualifications:

  • Advanced degree in a technology or business-related field.
  • 7 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
  • 7 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
  • 5 years of experience in a role preparing and delivering technical presentations to executive leadership.
  • 5 years of experience in software development or engineering.

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world’s information. We’re responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

The US base salary range for this full-time position is $194,000-$292,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.


  • Understand the end-to-end user journey across our internal and external customers, mapping pain points, distilling user requirements and product feedback into long-term strategic roadmaps, identifying valuable product features, and building trust with our customers.
  • Understand the customer’s user journey and build a trusted relationship with the customer and partner with engineering leaders within Core ML who will rely on you to help guide feature prioritization, identify customer impact, and communicate our long-term roadmap to partners. 
  • Develop a deep technical understanding of ML infrastructure within Core ML and across Google’s product areas, while keeping a pulse on market dynamics to learn from best practices in the industry. 
  • Lead a large group of product managers and a diverse portfolio of ML infrastructure, developing the charter to lead the team to deliver well-lit paths for customers.

Credit: Google career

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